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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA459C
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.52.40   (acesso restrito)
Última Atualização2014:02.04.16.23.07 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.52.41
Última Atualização dos Metadados2018:06.04.03.14.10 (UTC) administrator
DOI10.1016/j.jhydrol.2013.06.007
ISSN0022-1694
Rótuloscopus 2013-11
Chave de CitaçãoBragaSilSanGalNob:2013:CaStPi
TítuloDownscaling of a global climate model for estimation of runoff, sediment yield and dam storage: A case study of Pirapama basin, Brazil
ProjetoScience and Technology Ministry – CTHidro CHB: FINEP 02/2002, Grant No. 142475/2004-1 and SegHidro Project: FINEP/CT-INFO grant no. 01.04.08888.00.
Ano2013
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4261 KiB
2. Contextualização
Autor1 Braga, Ana Cláudia F. Medeiros
2 Silva, Richarde Marques da
3 Santos, Celso Augusto Guimarães
4 Galvão, Carlos de Oliveira
5 Nobre, Paulo
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JJ3B
Grupo1
2
3
4
5 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Department of Civil and Environmental Engineering, Federal University of Paraíba, 58051-900 João Pessoa, PB, Brazil
2 Department of Geosciences, Federal University of Paraíba, 58051-900 João Pessoa, PB, Brazil
3 Department of Civil and Environmental Engineering, Federal University of Paraíba, 58051-900 João Pessoa, PB, Brazil
4 Academic Unit of Civil Engineering, Federal University of Campina Grande, Rua Aprígio Veloso, 882, 58429-140 Campina Grande, PB, Brazil
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 anaclaudia@ct.ufpb.br
2 richarde@geociencias.ufpb.br
3 celso@ct.ufpb.br
4 galvao@dec.ufcg.edu.br
5 pnobre@cptec.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaJournal of Hydrology
Volume498
Páginas46-58
Nota SecundáriaA1 A1 A1 A1 A1 A2 A2 A2 B1 B1 B1 C
Histórico (UTC)2018-06-04 03:14:10 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveclimate forecasts
dam storages
down-scaling
regional model
sediment yields
climate models
erosion
reservoir management
reservoirs (water)
runoff
sediments
weather forecasting
rain
climate modeling
downscaling
human activity
rainfall-runoff modeling
sediment yield
water availability
weather forecasting
Brazil
Pernambuco
Pirapama basin
ResumoThe coastal zone of northeastern Brazil is characterized by intense human activities and by large settlements and also experiences high soil losses that can contribute to environmental damage. Therefore, it is necessary to build an integrated modeling-forecasting system for rainfall-runoff erosion that assesses plans for water availability and sediment yield that can be conceived and implemented. In this work, we present an evaluation of an integrated modeling system for a basin located in this region with a relatively low predictability of seasonal rainfall and a small area (600km2). The National Center for Environmental Predictions - NCEP's Regional Spectral Model (RSM) nested within the Center for Weather Forecasting and Climate Studies - CPTEC's Atmospheric General Circulation Model (AGCM) were investigated in this study, and both are addressed in the simulation work. The rainfall analysis shows that: (1) the dynamic downscaling carried out by the regional RSM model approximates the frequency distribution of the daily observed data set although errors were detected in the magnitude and timing (anticipation of peaks, for example) at the daily scale, (2) an unbiased precipitation forecast seemed to be essential for use of the results in hydrological models, and (3) the information directly extracted from the global model may also be useful. The simulated runoff and reservoir-stored volumes are strongly linked to rainfall, and their estimation accuracy was significantly improved at the monthly scale, thus rendering the results useful for management purposes. The runoff-erosion forecasting displayed a large sediment yield that was consistent with the predicted rainfall.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S0022169413004423-main.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.57.54 1
sid.inpe.br/bibdigital/2013/10.19.20.40 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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